As we mentioned earlier, sharding has been implemented in many distributed database systems. Essentially, sharding is a particular method for horizontally partitioning a large dataset within a database. More specifically, the database is broken into little pieces called shards. When aggregated together, they form the original database. In the following diagram, one large dataset can be sliced horizontally into two or more partitions, and each partition may be stored in separate database instances:
In a decentralized blockchain network, the network consists of a series of nodes connected in a peer-to-peer format, ...
